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Automated pre-processing strategies for species occurrence data used in biodiversity modelling

By Marshall J. Heap and Alastair Culham

Abstract

To construct Biodiversity richness maps from Environmental Niche Models (ENMs) of thousands of species is time consuming. A separate species occurrence data pre-processing phase enables the experimenter to control test AUC score variance due to species dataset size.\ud Besides, removing duplicate occurrences and points with missing environmental data, we discuss the need for coordinate precision, wide dispersion, temporal and synonymity filters. After species data filtering, the\ud final task of a pre-processing phase should be the automatic generation of species occurrence datasets which can then be directly ’plugged-in’ to the ENM. A software application capable of carrying out all these tasks will\ud be a valuable time-saver particularly for large scale biodiversity studies

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
OAI identifier: oai:centaur.reading.ac.uk:7709

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